A generalised adoption model for services: A cross-country comparison of mobile health (m-health)

By Yogesh Kumar Dwivedi, Mahmud Akhter Shareef, Antonis Constantinou Simintiras, Banita Lal, Vishanth Weerakkody. Government Information Quarterly, 2016

461 citations recorded by the source corpus.

Abstract Which antecedents affect the adoption by users is still often a puzzle for policy-makers. Antecedents examined in this research include technological artefacts from the Unified Theory of Acceptance and Use of Technology (UTAUT), consumer context from UTAUT2 and psychological behaviour concepts such as citizens' channel preference and product selection criteria. This research also investigated cultural domination on citizens' behavioural perception. The data for this study was collected among citizens from three countries: USA, Canada, and Bangladesh. The findings suggest that the UTAUT model could partially shape technology artefact behaviour and the extended UTAUT must consider specific determinants relevant to cognitive, affective, and conative or behavioural aspects of citizens. The model helps policy-makers to develop mobile healthcare service system that will be better accepted. The finding also suggests that this mobile service system should reflect a country's cultural traits. These findings basically extend the theoretical concept of UTAUT model to articulate adoption behaviour of any complex and sensitive ICT related issues like mobile healthcare system.

Subfields: Information Systems and Management, Management Science and Operations Research, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/a14b5cb682936b2c8d8ca65baf890a54f7c22d4b

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In Information Systems and Management

In Management Science and Operations Research

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Citations in the corpus

Citizens’ adoption of an electronic government system: towards a unified view (2015, methodology): “…of these addresses the individual acceptance of technology, using intention or usage as a dependent variable (e.g., Ajzen 1991; Davis et al. 1989; Dwivedi et al. 2015a, b; Seethamraju 2015), whereas other streams have focused on the success of the systems, using IS success models (e.g., Barclay…”
Social media marketing: Comparative effect of advertisement sources (2017, background): “Researchers working on consumer behaviour in virtual media (Dwivedi et al., 2016; Shareef et al., 2016) have explicitly acknowledged that consumer behaviour can be significantly different in different cultural contexts.”
Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model (2019, methodology): “Regarding dependent variables, this study adopts the effect of all previous independent variables over use variable, which belongs to the two models (Dwivedi et al., 2016).”
The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation (2021, methodology): “…(2013) examination on consumers to understand the drivers behind airline tickets purchase is an example of consumer user type and citizens user type include Dwivedi et al. (2016) examination on citizens adoption to m-health across three countries such as USA, Canada and Bangladesh.”
Advertisements on Facebook: Identifying the persuasive elements in the development of positive attitudes in consumers (2018, background): “22 Self-Concept (SC) This dimension of personal characteristics is analyzed by several marketing researchers (Dwivedi et al., 2016; Rook 1985; Sirgy, 1982) and they streamlined compatibility of personality with cognitive and affective functions of attitude.”
Investigating the impact of social media advertising features on customer purchase intention (2018, background): “…and even governments can commercially, socially, politically, and educationally interact with each other and exchange information, thoughts, products, and services (Hawkins and Vel, 2013; Rathore, Ilavarasan, & Dwivedi, 2016; Usher et al., 2014; Zeng and Gerritsen, 2014; Zhu and Chen, 2015).”